fatf.utils.data.datasets.load_iris

fatf.utils.data.datasets.load_iris() → Dict[str, numpy.ndarray][source]

Loads the IRIS dataset [FISHER1936].

The dataset description can be found here.

FISHER1936

Fisher,R.A. “The use of multiple measurements in taxonomic problems” Annual Eugenics, 7, Part II, 179-188 (1936); also in “Contributions to Mathematical Statistics” (John Wiley, NY, 1950).

Returns
dataDict[string, numpy.ndarray]

A dictionary with the dataset and its metadata. See fatf.utils.data.datasets.load_data for the data format.

Examples using fatf.utils.data.datasets.load_iris

../_images/sphx_glr_xmpl_accountability_data_measure_thumb.png

Measuring Robustness of a Data Set – Sampling Bias

../_images/sphx_glr_xmpl_accountability_models_measure_thumb.png

Measuring Robustness of a Predictive Model – Systematic Performance Bias

../_images/sphx_glr_xmpl_accountability_predictions_density_thumb.png

Measuring Robustness of a Prediction – Data Density

../_images/sphx_glr_xmpl_transparency_tree_thumb.png

Using a Surrogate Tree Explainer

../_images/sphx_glr_xmpl_transparency_lime_thumb.png

Using LIME Explainer

../_images/sphx_glr_xmpl_transparency_pd_thumb.png

Using Partial Dependence Explainer

../_images/sphx_glr_xmpl_transparency_data_desc_thumb.png

Using Data Description Explainer

../_images/sphx_glr_xmpl_transparency_cf_thumb.png

Using Counterfactual Prediction Explainer

../_images/sphx_glr_xmpl_transparency_ice_thumb.png

Using Individual Conditional Expectation Explainer